Triple
T5601302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurukun |
E147125
|
entity |
| Predicate | airportIATAcode |
P418
|
FINISHED |
| Object |
AUU
AUU is the IATA airport code for Aurukun Airport, which serves the remote community of Aurukun in Queensland, Australia.
|
E533697
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: AUU | Statement: [Aurukun, airportIATAcode, AUU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AUU Context triple: [Aurukun, airportIATAcode, AUU]
-
A.
AÜ
AÜ is the commonly used abbreviation for Ankara University, a major public research university in Turkey’s capital city.
-
B.
AArU
AArU is a regional organization that brings together universities from Arab countries to promote cooperation, coordination, and development in higher education and research.
-
C.
AUG
AUG is the IATA airport code for Augusta State Airport in Augusta, Maine, United States.
-
D.
A.E.I.O.U.
A.E.I.O.U. is a famous, enigmatic motto associated with the House of Habsburg, traditionally interpreted as expressing their universal imperial ambitions.
-
E.
UNN
UNN is the commonly used acronym for the University of Nigeria, Nsukka, one of Nigeria’s leading federal universities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: AUU Triple: [Aurukun, airportIATAcode, AUU]
Generated description
AUU is the IATA airport code for Aurukun Airport, which serves the remote community of Aurukun in Queensland, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AUU Target entity description: AUU is the IATA airport code for Aurukun Airport, which serves the remote community of Aurukun in Queensland, Australia.
-
A.
AÜ
AÜ is the commonly used abbreviation for Ankara University, a major public research university in Turkey’s capital city.
-
B.
AArU
AArU is a regional organization that brings together universities from Arab countries to promote cooperation, coordination, and development in higher education and research.
-
C.
AUG
AUG is the IATA airport code for Augusta State Airport in Augusta, Maine, United States.
-
D.
A.E.I.O.U.
A.E.I.O.U. is a famous, enigmatic motto associated with the House of Habsburg, traditionally interpreted as expressing their universal imperial ambitions.
-
E.
UNN
UNN is the commonly used acronym for the University of Nigeria, Nsukka, one of Nigeria’s leading federal universities.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020da519c81908626b243e40db263 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02873b1dc8190b11a6c069f3e4f7e |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c035f54f6c8190badbfd800012c399 |
completed | March 22, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c036f0edb48190bfa74f7f2c9d9ab1 |
completed | March 22, 2026, 6:37 p.m. |
Created at: March 22, 2026, 3:39 p.m.